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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Features of Logstash


Among the various features of Logstash, we will have a look at the key features that differentiate Logstash other log management tools:

  • Open source: Logstash is completely free to use and is an open source tool whose source code is available freely on GitHub.

  • Seamless integration with Elasticsearch, Beats, and Kibana: This is a powerful data processing pipeline which is tightly coupled to fetch data from multiple systems using Beats, store the data for real-time search capabilities in Elasticsearch, and visualize the stored data using Kibana.

  • Extensibility: Logstash provides a variety of inputs, filters, and outputs to use for processing logs of different types. It provides flexibility to create and develop inputs, filters, or outputs for Logstash, which are easy to create and developer-friendly.

  • Interoperability: Logstash provides the interoperability to use it with various other components and tools. Logstash can fetch data from various different tools and output the...

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